NDLI: Quantifying uncertainties associated with depth duration frequency curves

Content Provider	Springer Nature Link
Author	Mirzaei, Majid Huang, Yuk Feng Lee, Teang Shui El Shafie, Ahmed Ghazali, Abdul Halim
Copyright Year	2013
Abstract	Uncertainty in depth–duration–frequency (DDF) curves is usually disregarded in the view of difficulties associated in assigning a value to it. In central Iran, precipitation duration is often long and characterized with low intensity leading to a considerable uncertainty in the parameters of the probabilistic distributions describing rainfall depth. In this paper, the daily rainfall depths from 4 stations in the Zayanderood basin, Iran, were analysed, and a generalized extreme value distribution was fitted to the maximum yearly rainfall for durations of 1, 2, 3, 4 and 5 days. DDF curves were described as a function of rainfall duration (D) and return period (T). Uncertainties of the rainfall depth in the DDF curves were estimated with the bootstrap sampling method and were described by a normal probability density function. Standard deviations were modeled as a function of rainfall duration and rainfall depth using 10$^{4}$ bootstrap samples for all the durations and return periods considered for each rainfall station.
Starting Page	1227
Ending Page	1239
Page Count	13
File Format	PDF
ISSN	0921030X
Journal	Natural Hazards
Volume Number	71
Issue Number	2
e-ISSN	15730840
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-08-29
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Uncertainty analysis Depth duration frequency curves Generalized extreme value distribution Bootstrap sampling Natural Hazards Hydrogeology Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Civil Engineering Environmental Management
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Water Science and Technology

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